The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Seungyong Lee sits on this spectrum.
This scientist: 198 publications — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Seungyong Lee sits on this spectrum.
This scientist: 49 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Seungyong Lee is affiliated with the Pohang University of Science and Technology in South Korea. Their research primarily spans the fields of computer science and engineering, with a strong focus on subfields such as computer vision and pattern recognition, media technology, computer graphics and computer-aided design, electrical and electronic engineering, and computational mechanics.
The main topics covered in their work include advanced image processing techniques, advanced vision and imaging, image processing techniques and applications, computer graphics and visualization techniques, image and signal denoising methods, generative adversarial networks and image synthesis, and image enhancement techniques.
Seungyong Lee has contributed extensively to academic literature with a total of 76 publications in computer science and 38 in engineering. Their recent noteworthy papers cover a range of topics and include:
Their frequent coauthors include Sunghyun Cho, Junyong Lee, Jungeon Kim, Hyeongseok Son, and Jaesik Park. Collaborations with these researchers have resulted in multiple joint publications, indicating ongoing partnerships in their research endeavors.
Seungyong Lee has been frequently published in venues that emphasize computer graphics and vision including arXiv (Cornell University), ACM Transactions on Graphics, Computer Graphics Forum, Journal of the Korea Computer Graphics Society, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
S. Lee;G. Wolberg;S.Y. Shin
Sunghyun Cho;Seungyong Lee
Henry Kang;Seungyong Lee;Charles K. Chui
Seung-Yong Lee;Kyung-Yong Chwa;Sung Yong Shin
Seungyong Lee;G. Wolberg;Kyung-Yong Chwa;Sung Yong Shin
Sunghyun Cho;Jue Wang;Seungyong Lee
Seungyong Lee;Seong-Jin Park;Ki-Sang Hong
H. Kang;Seungyong Lee;C.K. Chui
Sunghyun Cho;Y. Matsushita;Seungyong Lee
Hojin Cho;Hyunjoon Lee;Henry Kang;Seungyong Lee
Sunghyun Cho;Jue Wang;Seungyong Lee
Yunjin Lee;Seungyong Lee;Ariel Shamir;Daniel Cohen-Or
Seungyong Lee;Kyung-Yong Chwa;James K. Hahn;Sung Yong Shin
Seong-Jin Park;Hyeongseok Son;Sunghyun Cho;Ki-Sang Hong
Seung Gu Shin;Seungyong Lee;Changsoo Lee;Kwanghyun Hwang
Changsoo Lee;Seungyong Lee;Seung Gu Shin;Seokhwan Hwang
Yunjin Lee;Seungyong Lee
Yunjin Lee;Lee Markosian;Seungyong Lee;John F. Hughes
Junyong Lee;Hyeongseok Son;Jaesung Rim;Sunghyun Cho
Junyong Lee;Sungkil Lee;Sunghyun Cho;Seungyong Lee
Yongchoel Choi;Seungyong Lee
H. Yamauchi;Seungyong Lee;Yunjin Lee;Y. Ohtake
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens up many flexible educational and career options. Today, online learning provides diverse pathways to enter or advance in the tech industry—whether you are just starting or looking to specialize further.
One popular entry point is an associates degree online, which covers foundational topics and can be completed in less than two years. For those aiming to enhance their credentials quickly, pursuing the quickest online masters degree could significantly boost your knowledge and job prospects with minimal interruption to your career.
Not sure which path will have the greatest impact? Many professionals seek out the most worthwhile masters degrees to ensure their investment translates to in-demand skills and better salaries. Additionally, earning easy certifications to get online can be an efficient way to showcase specialized expertise and quickly qualify for high-paying tech jobs.
By combining these flexible online options, you can tailor your Computer Science education to fit your timeline, goals, and career interests.
University of Alabama at Birmingham
The University of Texas at Austin
University College Dublin
New York University
Lawrence Berkeley National Laboratory
University of California, Davis
Durham University
Indiana University
Raincoast Conservation Foundation
Paul Sabatier University
University of Bonn
University of Tartu
Hefei University of Technology
University of Pittsburgh
University of Queensland
Research Institute for Nature and Forest
